DOI QR코드

DOI QR Code

Statistical Reasoning of Preservice Elementary School Teachers Engaged in Statistical Problem Solving: Focused on Question Posing Stage

통계적 문제해결 과정에서 나타난 예비초등교사들의 통계적 추론 분석 : 질문 생성 단계를 중심으로

  • Received : 2019.09.03
  • Accepted : 2019.10.18
  • Published : 2019.10.31

Abstract

The study aimed at investigating preservice elementary school teachers' statistical reasoning when they posed survey questions as they engaged in statistical problem solving, and analyzing how their statistical reasoning affect the subsequent stages. 24 groups of sophomore students(80 students) from two education universities conducted statistical problem solving and completed statistical report, and 22 of them were analyzed. As a result, 9 statistical reasoning were shown when preservice teachers posed survey questions. Among them, question clarification oriented reasoning and variability based reasoning were not exclusively focused upon in the previous research. In order to investigate how statistical reasoning in posing survey questions affected subsequent stages, we examined difficulties and issues that preservice teachers had when they engaged in analyses and conclusion stage described in their report. Consequently, preservice teachers' difficulties were related to population relevant reasoning, category level reasoning, standardization reasoning, alignment to question reasoning, and question clarification oriented reasoning. While previous studies did not focus on question posing stage, this study claimed the necessity of emphasizing various statistical reasoning in question posing and importance of teaching and learning method of appropriate statistical reasoning in question posing.

이 연구는 통계적 문제해결 과정 중에 설문지 질문 생성 단계에서 나타나는 예비초등교사들의 통계적 추론을 조사하고 이것이 이후 단계들에서의 활동에 어떻게 영향을 미치는지를 분석하는 데 목적을 두었다. 이를 위해 24개 조의 교육대학교 2학년 학생들 80명이 통계적 문제해결 과정을 직접 실행하고 통계 보고서를 작성하였으며, 그 중 22개 조의 보고서를 분석하였다. 분석 결과, 설문지 질문 생성 단계에서 예비교사들의 9가지 통계적 추론이 확인되었으며, 특히 그 중 질문 명확화 지향 추론과 변이 기반 추론은 기존 연구에서 보고되지 않았던 추론이었다. 또한, 설문지 질문 생성 단계에서의 통계적 추론이 이후 단계의 활동에 미친 영향을 알아보기 위해 자료 분석 및 결론 단계에서 예비교사들이 보고서에 기술하였던 어려움 및 이슈를 확인하였다. 그 결과, 예비교사들의 어려움이 설문지 질문 생성 과정에서의 모집단 관련 추론, 범주 수준 추론, 표준화 추론, 질문의 일관성 지향 추론, 질문 명확화 지향 추론과 관련이 있는 것으로 나타났다. 그동안 선행연구에서 질문 생성하기 단계에 크게 주목하지 않았다는 점에 비추어보면, 본 연구 결과는 질문 생성 단계에서 나타나는 다양한 통계적 추론에 좀 더 주목할 필요가 있다는 점과 질문 생성 단계에서 적절한 통계적 추론이 이루어지도록 하기 위한 교수 방안들을 논의할 필요가 있다는 점을 시사한다.

Keywords

References

  1. Go, S. M., Kim, M. S., Jung, J. K., & Cho, W. Y. (2017). Analysis of the problems in statistics units of middle school textbooks for the 3rd grade in terms of statistical literacy. School Mathematics, 19(4), 731-749.
  2. Ko, E., & Park, M. (2017). Pre-service elementary school teachers' statistical literacy related to statistical problem solving. School Mathematics, 19(3), 443-459.
  3. Bae, H. J., & Lee, D. H. (2016). An analysis on statistical units of elementary school mathematics textbook. Journal of Elementary Mathematics Education in Korea, 20(1), 55-69.
  4. Song, S. E. (2019). The analysis of prospective mathematics teachers' capacity recognition and knowledge about statistical problem solving. Ewha Womans University of Education Graduate School, Master's thesis.
  5. Woo, J. H. (2017). The foundation of education in school mathematics. Seoul: Seoul National University Press.
  6. Arnold, P. (2013). Statistical investigative questions: An enquiry into posing and answering investigative questions from existing data. The University of Auckland, New Zealand, Doctoral thesis
  7. Arnold, P. & Pfannkuch, M. (2019). Posing comparative statistical investigative questions. In G. Burrill & D. Ben-Zvi (Eds.), Topics and trends in current statistics education research. ICME-13 Monographs (pp. 173-195). Switzerland: Springer.
  8. delMas, R. (2002). Statistical literacy, reasoning, and thinking: A commentary. Journal of Statistics Education [Online], 10(3), https://www.tandfonline.com/doi/full/10.1080/10691898.2002.11910679
  9. delMas, R. (2004). A Comparison of mathematical and statistical reasoning. In D. Ben-Zvi & J. Garfield (Eds.), The challenge of developing statistical literacy, reasoning, and thinking (pp. 79-95). Dordrecht, The Netherlands: Kluwer Academic Publishers.
  10. English, L. & Watson, J. (2015). Statistical literacy in the elementary school: Opportunities for problem posing. In F. Singer, N. Ellerton, & J. Cai (Eds.), Mathematical problem posing: from research to effective practice (pp. 241-256). Dordrecht, The Netherlands: Springer.
  11. Franklin, C., Kader, G., Mewborn, D., Moreno, J., Peck, R., Perry, M. & Scheaffer, R. (2007). Guidelines for assessment and instruction in statistics education (GAISE) report: A Pre-k-12 curriculum framework. Alexandria, VA: American Statistical Association.
  12. Garfield, J. & Chance, B. (2000). Assessment in statistics education: Issues and challenges. Mathematical Thinking and Learning, 2(1 and 2), 99-125. https://doi.org/10.1207/S15327833MTL0202_5
  13. Garfield, J. & Gal, I. (1999). Teaching and assessing statistical reasoning. In L. Stiff, & F. R. Curcio (Eds.), Developing mathematical reasoning in grades K-12 (pp. 207-219). Reston, VA: National Council of Teachers of Mathematics.
  14. Lavigne, N. C. & Lajoie, S. P. (2007). Statistical reasoning of middle school children engaging in survey inquiry. Contemporary Educational Psychology, 32(4), 630-666. https://doi.org/10.1016/j.cedpsych.2006.09.001
  15. MacKay, R. J. & Oldford, R. W. (2000). Scientific method, statistical method and the speed of light. Statistical Science, 15(3), 254-278. https://doi.org/10.1214/ss/1009212817
  16. Makar, K., & Fielding-Wells, J. (2011). Teaching teachers to teach statistical investigations. In C. Batanero, G. Burrill, & C. Reading (Eds.), Teaching statistics in school mathematics-challenges for teaching and teacher education (pp. 9-13). New York: Springer.
  17. Marriott, J.; Davies, N. & Gibson, L. (2009). Teaching, learning and assessing statistical problem solving. Journal of Statistics Education [Online], 17(1), www.amstat.org/publications/jse/v17n1/marriott.html
  18. Newton, J., Dietiker, L., & Horvath, A. (2011). Statistics education in the United States: Statistical reasoning and the statistical process. In C. Batanero, G. Burrill, & C. Reading (Eds.), Teaching statistics in school mathematics-challenges for teaching and teacher education (pp. 9-13). New York: Springer.
  19. Pfannkuch, M. (2008). Building sampling concepts for statistical inference: A case study. In Proceeding of the 11th International Congress on Mathematical Education. Monterrey, Mexico.
  20. Pfanncuch, M. & Wild, C.(2004). Towards an understanding of statistical thinking. In D. Ben-Zvi & J. Garfield (Eds.), The challenge of developing statistical literacy, reasoning, and thinking (pp. 17-46). Dordrecht, The Netherlands: Kluwer Academic Publishers.
  21. Russell, S. J. (2006). What does it mean that "5 has a lot?" From the world to data and back. In G. Burrill & P. Elliot (Eds.), Thinking and reasoning with data and chance: sixty-eighth yearbook (pp. 17-29). Reston, VA: National Council of Teachers of Mathematics.
  22. Watson, J. (2004). Developing reasoning about samples. In D. Ben-Zvi & J. Garfield (Eds.), The challenge of developing statistical literacy, reasoning, and thinking (pp. 277-294). Dordrecht, The Netherlands: Kluwer Academic Publishers.
  23. Watson, J. & English, L. (2017). Statistical problem posing, problem refining, and further reflection in grade 6. Canadian Journal of Science, Mathematics and Technology Education, 17(4), 347-365.
  24. Wild, C. J. & Pfannkuch, M. (1999). Statistical thinking in empirical enquiry. International Statistical Review, 67(3), 223-265. https://doi.org/10.1111/j.1751-5823.1999.tb00442.x